Validation of the MitoTracer algorithm.

<p>(A) Unsupervised hierarchical clustering of the VAF matrix of 24 informative MT mutations showed a clear clustering of BT142 and K562 cells for the MAESTER dataset. (B) Unsupervised hierarchical clustering of the VAF matrix of 47 informative MT mutations showed a clear clustering of GM11906...

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Main Author: Xuexin Yu (733842) (author)
Other Authors: Jing Hu (41899) (author), Yuhao Tan (15227659) (author), Mingyao Pan (21587178) (author), Hongyi Zhang (431841) (author), Bo Li (112195) (author)
Published: 2025
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Summary:<p>(A) Unsupervised hierarchical clustering of the VAF matrix of 24 informative MT mutations showed a clear clustering of BT142 and K562 cells for the MAESTER dataset. (B) Unsupervised hierarchical clustering of the VAF matrix of 47 informative MT mutations showed a clear clustering of GM11906 and TF1 cells for mtscATAC-seq dataset. (C) Unsupervised hierarchical clustering of the VAF matrix of 23 informative MT mutations showed a clear clustering of C9, D6, and G10 hematopoietic cells for the scATAC-seq dataset. (D) Unsupervised hierarchical clustering of the VAF matrix of 31 informative MT mutations showed a clear clustering of cells by their patient origin for the SMART-seq2 dataset. (E) Unsupervised hierarchical clustering of the VAF matrix of 82 informative MT mutations showed a clear clustering of cells by their patient origin for the 10X scRNA-seq dataset.</p>